Ecological Stoichiometry for Parasitologists
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Response of Marine Food Webs to Climate-Induced Changes in Temperature and Inflow of Allochthonous Organic Matter
Response of marine food webs to climate-induced changes in temperature and inflow of allochthonous organic matter Rickard Degerman Department of Ecology and Environmental Science 901 87 Umeå Umeå 2015 1 Copyright©Rickard Degerman ISBN: 978-91-7601-266-6 Front cover illustration by Mats Minnhagen Printed by: KBC Service Center, Umeå University Umeå, Sweden 2015 2 Tillägnad Maria, Emma och Isak 3 Table of Contents Abstract 5 List of papers 6 Introduction 7 Aquatic food webs – different pathways Food web efficiency – a measure of ecosystem function Top predators cause cascade effects on lower trophic levels The Baltic Sea – a semi-enclosed sea exposed to multiple stressors Varying food web structures Climate-induced changes in the marine ecosystem Food web responses to increased temperature Responses to inputs of allochthonous organic matter Objectives 14 Material and Methods 14 Paper I Paper II and III Paper IV Results and Discussion 18 Effect of temperature and nutrient availability on heterotrophic bacteria Influence of food web length and labile DOC on pelagic productivity and FWE Consequences of changes in inputs of ADOM and temperature for pelagic productivity and FWE Control of pelagic productivity, FWE and ecosystem trophic balance by colored DOC Conclusion and future perspectives 21 Author contributions 23 Acknowledgements 23 Thanks 24 References 25 4 Abstract Global records of temperature show a warming trend both in the atmosphere and in the oceans. Current climate change scenarios indicate that global temperature will continue to increase in the future. The effects will however be very different in different geographic regions. In northern Europe precipitation is projected to increase along with temperature. -
Energetics of Life on the Deep Seafloor
Energetics of life on the deep seafloor Craig R. McClaina,1, Andrew P. Allenb, Derek P. Tittensorc,d, and Michael A. Rexe aNational Evolutionary Synthesis Center, Durham, NC 27705-4667; bDepartment of Biological Sciences, Macquarie University, Sydney, NSW 2109, Australia; cUnited Nations Environment Programme World Conservation Monitoring Centre, Cambridge CB3 0DL, United Kingdom; dMicrosoft Research Computational Science Laboratory, Cambridge CB3 0FB, United Kingdom; and eDepartment of Biology, University of Massachusetts, Boston, MA 02125-3393 Edited* by James H. Brown, University of New Mexico, Albuquerque, NM, and approved August 3, 2012 (received for review May 26, 2012) With frigid temperatures and virtually no in situ productivity, the vary with depth (13, 14), which is inversely related to POC flux deep oceans, Earth’s largest ecosystem, are especially energy-de- (16, 17). The influence of energy availability on individual growth prived systems. Our knowledge of the effects of this energy lim- rates and lifespans is unknown. At the community level, biomass itation on all levels of biological organization is very incomplete. and abundance generally decline with depth. Direct tests for the fl Here, we use the Metabolic Theory of Ecology to examine the in uences of POC and temperature on these community attrib- relative roles of carbon flux and temperature in influencing met- utes are rare, but they suggest only weak effects for temperature (16, 18). Although broad-scale patterns of deep-sea biodiversity abolic rate, growth rate, lifespan, body size, abundance, biomass, fi and biodiversity for life on the deep seafloor. We show that the are well-established and presumably linked to POC, speci c tests of this relationship remain limited (reviewed in ref. -
Stoichiometric Constraints Modulate the Effects of Temperature and Nutrients on Biomass Distribution And
bioRxiv preprint doi: https://doi.org/10.1101/589895; this version posted January 28, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. RESEARCH ARTICLE Stoichiometric constraints modulate the effects of temperature and nutrients on biomass distribution and community stability Cite as: Sentis A, Haegeman B and Montoya J.M. (2020) Stoichiometric Arnaud Sentis1,2*, Bart Haegeman1, and José M. Montoya1 constraints modulate the effects of 1 temperature and nutrients on Centre for Biodiversity Theory and Modelling, Theoretical and Experimental biomass distribution and community Ecology Station, CNRS and Paul Sabatier University, Moulis, France. stability. bioRxiv 589895, ver. 7 peer- 2 reviewed and recommended by PCI INRAE, Aix Marseille Univ., UMR RECOVER, 3275 route Cézanne, 13182 Aix-en- Ecology. Provence, France. Posted: 28th January 2020 This article has been peer-reviewed and recommended by Recommender: Peer Community in Ecology Elisa Thébault ABSTRACT Temperature and nutrients are two of the most important drivers of global change. Reviewers: Two anonymous reviewers Both can modify the elemental composition (i.e. stoichiometry) of primary producers and consumers. Yet their combined effect on the stoichiometry, Correspondence: [email protected] dynamics, and stability of ecological communities remains largely unexplored. To fill this gap, we extended the Rosenzweig-MacArthur consumer-resource model by including thermal dependencies, nutrient dynamics, and stoichiometric constraints on both the primary producer and the consumer. We found that stoichiometric constraints dampen the paradox of enrichment and increased persistence at high nutrient levels. -
Towards an Integration of Ecological Stoichiometry and the Metabolic Theory of Ecology to Better Understand Nutrient Cycling
Ecology Letters, (2009) 12: 369–384 doi: 10.1111/j.1461-0248.2009.01302.x IDEA AND PERSPECTIVE Towards an integration of ecological stoichiometry and the metabolic theory of ecology to better understand nutrient cycling Abstract Andrew P. Allen1* and James Ecologists have long recognized that species are sustained by the flux, storage and F. Gillooly2 turnover of two biological currencies: energy, which fuels biological metabolism and 1Department of Biological materials (i.e. chemical elements), which are used to construct biomass. Ecological Sciences, Macquarie University, theories often describe the dynamics of populations, communities and ecosystems in Sydney, NSW 2109, Australia terms of either energy (e.g. population-dynamics theory) or materials (e.g. resource- 2 Department of Zoology, competition theory). These two classes of theory have been formulated using different University of Florida, 223 assumptions, and yield distinct, but often complementary predictions for the same or Bartram Hall, P.O. Box 118525, similar phenomena. For example, the energy-based equation of von Bertalanffy and the Gainesville, FL 32611, USA *Correspondence: E-mail: nutrient-based equation of Droop both describe growth. Yet, there is relatively little [email protected] theoretical understanding of how these two distinct classes of theory, and the currencies they use, are interrelated. Here, we begin to address this issue by integrating models and concepts from two rapidly developing theories, the metabolic theory of ecology and ecological stoichiometry theory. We show how combining these theories, using recently published theory and data along with new theoretical formulations, leads to novel predictions on the flux, storage and turnover of energy and materials that apply to animals, plants and unicells. -
Demographic History and the Low Genetic Diversity in Dipteryx Alata (Fabaceae) from Brazilian Neotropical Savannas
Heredity (2013) 111, 97–105 & 2013 Macmillan Publishers Limited All rights reserved 0018-067X/13 www.nature.com/hdy ORIGINAL ARTICLE Demographic history and the low genetic diversity in Dipteryx alata (Fabaceae) from Brazilian Neotropical savannas RG Collevatti1, MPC Telles1, JC Nabout2, LJ Chaves3 and TN Soares1 Genetic effects of habitat fragmentation may be undetectable because they are generally a recent event in evolutionary time or because of confounding effects such as historical bottlenecks and historical changes in species’ distribution. To assess the effects of demographic history on the genetic diversity and population structure in the Neotropical tree Dipteryx alata (Fabaceae), we used coalescence analyses coupled with ecological niche modeling to hindcast its distribution over the last 21 000 years. Twenty-five populations (644 individuals) were sampled and all individuals were genotyped using eight microsatellite loci. All populations presented low allelic richness and genetic diversity. The estimated effective population size was small in all populations and gene flow was negligible among most. We also found a significant signal of demographic reduction in most cases. Genetic differentiation among populations was significantly correlated with geographical distance. Allelic richness showed a spatial cline pattern in relation to the species’ paleodistribution 21 kyr BP (thousand years before present), as expected under a range expansion model. Our results show strong evidences that genetic diversity in D. alata is the outcome of the historical changes in species distribution during the late Pleistocene. Because of this historically low effective population size and the low genetic diversity, recent fragmentation of the Cerrado biome may increase population differentiation, causing population decline and compromising long-term persistence. -
Stoichiometry and Planktonic Grazer Composition Over Gradients of Light, Nutrients, and Predation Risk
Ecology, 85(8), 2004, pp. 2291±2301 q 2004 by the Ecological Society of America STOICHIOMETRY AND PLANKTONIC GRAZER COMPOSITION OVER GRADIENTS OF LIGHT, NUTRIENTS, AND PREDATION RISK SPENCER R. HALL,1,3 MATHEW A. LEIBOLD,1,4 DAVID A. LYTLE,1,5 AND VAL H. SMITH2 1Department of Ecology and Evolution, University of Chicago, 1101 E. 57th Street Chicago, Illinois 60637 USA 2Program in Ecology and Population Biology, Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas 66045 USA Abstract. Mechanisms that explain shifts in species composition over environmental gradients continue to intrigue ecologists. Ecological stoichiometry has recently provided a new potential mechanism linking resource (light and nutrient) supply gradients to grazer performance via elemental food-quality mechanisms. More speci®cally, it predicts that light and nutrient gradients should determine the relative dominance of P-rich taxa, such as Daphnia, in grazer assemblages. We tested this hypothesis in pond mesocosms (cattle tanks) by creating gradients of resource supply and predation risk, to which we added diverse assemblages of algal producer and zooplankton grazer species. We then characterized the end-point composition of grazer assemblages and quantity and elemental food quality of edible algae. We found that somatically P-rich Daphnia only dominated grazer assemblages in high-nutrient, no-predator treatments. In these ecosystems, P sequestered in producers exceeded a critical concentration. However, other grazers having even higher body P content did not respond similarly. These grazers were often abundant in low-nutrient environments with poorer food quality. At face value, this result is problematic for ecological stoichi- ometry because body composition did not correctly predict response of these other species. -
Macroecology in the Age of Big Data –
Received: 7 February 2019 | Revised: 8 May 2019 | Accepted: 9 May 2019 DOI: 10.1111/jbi.13633 PERSPECTIVE Macroecology in the age of Big Data – Where to go from here? Rafael O. Wüest1 | Niklaus E. Zimmermann1 | Damaris Zurell2 | Jake M. Alexander3 | Susanne A. Fritz4,5 | Christian Hof6 | Holger Kreft7 | Signe Normand8 | Juliano Sarmento Cabral9 | Eniko Szekely10 | Wilfried Thuiller11 | Martin Wikelski12,13 | Dirk Nikolaus Karger1 1Swiss Federal Research Institute WSL, Birmensdorf, Switzerland 2Department of Geography, Humboldt University Berlin, Berlin, Germany 3Institute of Integrative Biology, ETH Zurich, Zürich, Switzerland 4Senckenberg Biodiversity and Climate Research Centre, Frankfurt (Main), Germany 5Institute of Ecology, Evolution & Diversity, Goethe‐University, Frankfurt (Main), Germany 6Terrestrial Ecology Research Group, Technical University of Munich, Freising, Germany 7Biodiversity, Macroecology & Biogeography, Faculty of Forest Sciences and Forest Ecology, University of Göttingen, Göttingen, Germany 8Ecoinformatics & Biodiversity & Center for Biodiversity on a Changing world, Aarhus, Denmark 9Ecosystem Modeling, CCTB University of Würzburg, Würzburg, Germany 10Swiss Data Science Center, ETH Zurich and EPFL, Lausanne, Switzerland 11Evolution, Modeling and Analysis of Biodiversity (EMABIO), Laboratoire d'Ecologie Alpine (LECA), Université Grenoble Alpes, Grenoble, France 12Max‐Planck‐Institut for Ornithology, Vogelwarte Radolfzell, Radolfzell, Germany 13Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany Correspondence Dirk Nikolaus Karger, Swiss Federal Abstract Research Institute WSL, Zürcherstrasse 111, Recent years have seen an exponential increase in the amount of data available in all 8903 Birmensdorf, Switzerland. Email: [email protected] sciences and application domains. Macroecology is part of this “Big Data” trend, with a strong rise in the volume of data that we are using for our research. -
History and Trends in Ecological Stoichiometry Research from 1992 to 2019: a Scientometric Analysis
sustainability Review History and Trends in Ecological Stoichiometry Research from 1992 to 2019: A Scientometric Analysis Hailiang Li 1,* , M. James C. Crabbe 2,3,4 and Haikui Chen 5 1 College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China 2 Wolfson College, Oxford University, Oxford OX2 6UD, UK; [email protected] 3 Institute of Biomedical and Environmental Science & Technology, University of Bedfordshire, Luton LU1 3JU, UK 4 School of Life Sciences, Shanxi University, Taiyuan 030006, China 5 School of Biological Science and Engineering, North Minzu University, Yinchuan 750021, China; [email protected] * Correspondence: [email protected] Received: 26 September 2020; Accepted: 23 October 2020; Published: 27 October 2020 Abstract: Ecological stoichiometry (ES), as an ecological theory, provides a framework for studying various ecological processes, and it has been applied successfully in fields ranging from nutrient dynamics to biogeochemical cycling. Through the application of ES theory, researchers are beginning to understand many diverse ecological topics. The aim of this paper was to identify the main characteristics of ES, especially to clarify the evolution, and potential trends of this field for future ecological studies. We used CiteSpace software to conduct a bibliometric review of ES research publications from 1992 to 2019 extracted from the Web of Science. The results showed that the United States has been a major contributor to this field; approximately half of the top 15 academic institutions contributing to ES research were in the United States. Although the largest number of publications on ES were from China, the impact of these academic papers has thus far been less than that of the papers from other countries. -
Minimum Viable Populations: Is There a ‘Magic Number’ for Conservation Practitioners?
Review Minimum viable populations: is there a ‘magic number’ for conservation practitioners? Curtis H. Flather1, Gregory D. Hayward2,3, Steven R. Beissinger4 and Philip A. Stephens5 1 USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO 80526, USA 2 USDA Forest Service, Alaska Region, Anchorage, AK 99503, USA 3 Department of Zoology & Physiology, University of Wyoming, Laramie, WY 80271, USA 4 Department of Environmental Science, Policy & Management, University of California, Berkeley, CA 94720, USA 5 School of Biological and Biomedical Sciences, Durham University, South Road, Durham, DH1 3LE, UK Establishing species conservation priorities and recov- The need to make rapid decisions about conservation ery goals is often enhanced by extinction risk estimates. targets, often in the absence of necessary data, has The need to set goals, even in data-deficient situations, prompted interest in identifying robust, general guidelines has prompted researchers to ask whether general guide- for MVPs [15,16]. Taking advantage of growing access to lines could replace individual estimates of extinction population and life-history data for large numbers of spe- risk. To inform conservation policy, recent studies have cies, several recent papers [17–20] explore the credibility of revived the concept of the minimum viable population a lower limit to robust MVPs. Despite apparent caution (MVP), the population size required to provide some about overinterpreting the strength of evidence, the most specified probability of persistence for a given period recent review [20] asserts that ‘[t]he bottom line is that of time. These studies conclude that long-term persis- both the evolutionary and demographic constraints on tence requires 5000 adult individuals, an MVP thresh- populations require sizes to be at least 5000 adult individ- old that is unaffected by taxonomy, life history or uals.’ A popular science summary of the article goes fur- environmental conditions. -
Newsletter Number 86
The Palaeontology Newsletter Contents 86 Editorial 2 Association Business 3 Outreach and Education Grants 27 Association Meetings 28 From our correspondents Darwin’s diffidence 33 R for palaeontologists: Introduction 2 40 Future meetings of other bodies 48 Meeting Reports 55 Obituary Dolf Seilacher 64 Sylvester-Bradley reports 67 Outside the Box: independence 80 Publicity Officer: old seas, new fossils 83 Book Reviews 86 Books available to review 90 Palaeontology vol 57 parts 3 & 4 91–92 Special Papers in Palaeontology 91 93 Reminder: The deadline for copy for Issue no 87 is 13th October 2014. On the Web: <http://www.palass.org/> ISSN: 0954-9900 Newsletter 86 2 Editorial You know you are getting pedantic when you find yourself reading the Constitution of the Palaeontological Association, but the third article does serve as a significant guide to the programme of activities the Association undertakes. The aim of the Association is to promote research in Palaeontology and its allied sciences by (a) holding public meetings for the reading of original papers and the delivery of lectures, (b) demonstration and publication, and (c) by such other means as the Council may determine. Council has taken a significant step under categories (b) and (c) above, by committing significant funds, relative to spending on research and travel, to Outreach and Education projects (see p. 27 for more details). This is a chance for the membership of the Association to explore a range of ways of widening public awareness and participation in palaeontology that is led by palaeontologists. Not by universities, not by research councils or other funding bodies with broader portfolios. -
Biology Essential Curriculum Unit 1: Biodiversity and Stability
Biology Essential Curriculum Unit 1: Biodiversity and Stability (Macroecology) Use a mathematical model to describe the transfer of energy and matter from one trophic level to another and how that energy and matter is conserved as it cycles through ecosystems.(HS-LS 2-4) Use computational representations to explain what affects carrying capacity. (HS-LS 2-1) Using graphical comparisons of data, analyze the trends of factors affecting biodiversity on the health of populations within different trophic levels of an ecosystem. (HS-LS 2-2) Evaluate how changes in environmental conditions impact the complex interactions of organisms within an ecosystem and how alterations of the conditions may result in new ecosystems. (HS-LS 2-6) Unit 2: Cycling Matter and Energy Dynamics in Ecosystems (Molecular level) Use a model to illustrate how photosynthesis transforms light energy, carbon dioxide and water into stored chemical energy of carbohydrates while releasing oxygen. (HS-LS1-5) Demonstrate how the atoms of sugar molecules combine with other elements to form amino acids and other large carbon-based molecules. (HS-LS1-6) Illustrate that cellular respiration is a chemical process whereby the bonds of food molecules and oxygen molecules are broken and the bonds in new compounds are formed resulting in a net transfer of energy. (HS-LS1-7) Construct and revise an explanation based on evidence for the cycling of matter from photosynthesis and respiration to explain the flow of energy in aerobic and anaerobic conditions. (HS-LS 2-3) Develop a model to show that photosynthesis and respiration are important components in exchanging carbon amongst the biosphere, atmosphere, oceans and geosphere. -
An Introduction to Terretrial Ecological Stoichiometry
AN INTRODUCTION TO TERRETRIAL ECOLOGICAL STOICHIOMETRY A RESEARCH PAPER SUBMITTED TO THE GRADUATE SCHOOL IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE MASTER OF ARTS BY KEVIN FITZPATRICK DR. RANDALL BERNOT – ADVISOR BALL STATE UNIVERSITY MUNCIE, INDIANA JULY 2018 1 Ecological stoichiometry The imbalance between elemental abundance and energy in an ecosystem affects organism evolution and interactions with other organisms (Sterner and Elser 2002). The relative abundances, or stoichiometry, of nutrients in an ecosystem puts constraints on organismal life history traits that change in time and are selected for by the environment. Any particular organism must take from the environment the nutrients needed for survival and reproduction and expel the rest. The study of the ways in which organisms meet these demands and how they compensate for imbalances between elemental demand of tissue composition and intake of nutrients is called ecological stoichiometry (ES; Hessen et al. 2013). In general, the nutritional needs determined by the elemental content of an organism are not in equilibrium with the food it eats. The imbalances between these nutrient demands of producers and consumers influence pools and fluxes of the elements within an ecosystem, which affects life-history traits, metabolism, and fitness of the organisms in the food web (Sterner and Elser 2002). By determining the variability of nutrients in space and time by measuring carbon, nitrogen and phosphorus ratios (C:N:P) in organisms, a better understanding of ecosystem dynamics, organismal physiology, and biogeochemistry can be reached. ES was used initially as a framework to connect the relative abundance of elements in an ecosystem and the effects this has on organisms in that ecosystem (Olff et al.